Health Information Science and Systems

Papers
(The median citation count of Health Information Science and Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery78
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network54
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data47
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder46
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction37
Exploring relationship between emotion and probiotics with knowledge graphs36
Microstate feature fusion for distinguishing AD from MCI36
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer28
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging26
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data26
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases26
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI25
Embedding-based link predictions to explore latent comorbidity of chronic diseases24
Image-based second opinion for blood typing24
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset23
Detecting autism in children through drawing characteristics using the visual-motor integration test21
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset20
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration19
Convolutional neural network framework for EEG-based ADHD diagnosis in children19
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers18
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals17
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism17
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches17
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules16
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network16
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network16
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification15
Automated lead toxicity prediction using computational modelling framework14
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification13
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network13
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine13
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning13
Meta semi-supervised medical image segmentation with label hierarchy13
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data12
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services12
A new mixed reality tool for training in minimally invasive robotic-assisted surgery12
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder11
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence11
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features11
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery11
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing10
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation9
A transfer learning enabled approach for ocular disease detection and classification9
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration9
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review9
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation9
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning9
Gut microbiome biomarkers in adolescent obesity: a regional study9
Alterations of DNA methylation profile in peripheral blood of children with simple obesity9
EAPR: explainable and augmented patient representation learning for disease prediction9
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization9
Hyperbolic vision language representation learning on chest radiology images8
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model8
CSL-CTEA: a systematic method for evaluating novel intelligent cognitive assessment tools8
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality8
Classifying sepsis from photoplethysmography8
Predicting drug–drug interactions based on multi-view and multichannel attention deep learning7
Viewpoint-invariant exercise repetition counting7
Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches7
Frailty detection in older adults via fractal analysis of acceleration signals from wrist-worn sensors7
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification7
UniMRE: a unified framework for zero-shot medicial relation extraction with large language models7
Explainable depression symptom detection in social media6
Interrelated feature selection from health surveys using domain knowledge graph6
LASF: a local adaptive segmentation framework for coronary angiogram segments6
Early detection of paediatric and adolescent obsessive–compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms6
Pre-collapse femoral head necrosis treated by hip abduction: a computational biomechanical analysis6
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization6
A new segment method for pulmonary artery and vein6
Comprehensive applications of the artificial intelligence technology in new drug research and development6
Design and development of a disease-specific clinical database system to increase the availability of hospital data in China6
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN6
A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition5
Coronary artery segmentation framework based on three types of U-Net and voting ensembles5
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images5
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes5
Meta-path guided graph attention network for explainable herb recommendation5
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening5
DPD (DePression Detection) Net: a deep neural network for multimodal depression detection4
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods4
Knowledge and data-driven prediction of organ failure in critical care patients4
Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images4
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy4
Task-independent auditory probes reveal changes in mental workload during simulated quadrotor UAV training4
Machine learning approach to flare-up detection and clustering in chronic obstructive pulmonary disease (COPD) patients4
Explainable federated learning scheme for secure healthcare data sharing4
Self-supervised neural network-based endoscopic monocular 3D reconstruction method4
Multi-teacher based knowledge distillation for retinal vessel segmentation4
MHA: a multimodal hierarchical attention model for depression detection in social media4
Identification of phosphorylation site using S-padding strategy based convolutional neural network4
Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research3
Leveraging twitter data to understand nurses’ emotion dynamics during the COVID-19 pandemic3
A multi-label classification system for anomaly classification in electrocardiogram3
A new multivariate blood glucose prediction method with hybrid feature clustering and online transfer learning3
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project3
Postoperative prognostic nomogram for adult grade II/III astrocytoma in the Chinese Han population3
Deep transfer learning hybrid techniques for precision in breast cancer tumor histopathology classification3
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation3
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM3
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients3
An error-bounded median filter for correcting ECG baseline wander3
M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty3
Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework3
Video-based evaluation system for tic action in Tourette syndrome: modeling, detection, and evaluation3
A review of machine learning-based methods for predicting drug–target interactions3
Design and evaluation of an exergame system to assist knee disorders patients' rehabilitation based on gesture interaction3
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning3
Automatic breast lesion segmentation in phase preserved DCE-MRIs3
Combining temporal and spatial attention for seizure prediction3
Identification of cancer driver genes based on hierarchical weak consensus model3
Detection and explanation of anomalies in healthcare data3
DRAW+: network-based computational drug repositioning with attention walking and noise filtering3
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests3
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition3
Effectiveness assessment of repetitive transcranial alternating current stimulation with concurrent EEG and fNIRS measurement3
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